用交互式增强现实改进大数据分析

S. Hirve, C. Reddy
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引用次数: 0

摘要

由于包括全球消费者和/或企业在内的每个人每分钟都在生成数据,因此大数据分析具有巨大的价值。大数据分析是一种从大量数据中提取重要信息的技术。可视化是分析和共享信息的最佳媒介。视觉图像有助于在几秒钟内将数据传输到人脑。视觉解释有助于从不同角度将数据可视化。可视化有助于概述问题并了解当前趋势。增强现实使用户能够体验真实世界,这在某种程度上是数字增强的。本研究工作的主要目的是寻找将分析数据可视化并以3D视图显示给用户的解决方案,并借助增强现实技术提高可视化角度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving Big Data Analytics With Interactive Augmented Reality
Since, data is generated every minute by everyone including consumers and/or business worldwide, there is an enormous worth for big data analytics. Big data analytics is a technique for extracting important information from large amounts of a data. Visualization is the best medium to analyze and share information. Visual images help to transmit bid data to the human brain within a few seconds. Visual interpretations help in visualizing data from different angles. Visualization helps to outline problems and understand current trends. Augmented reality enables the user to experience the real world, which is digitally augmented in a way. The main objective of this research work is to find the solution to visualize the analyzed data and show it to the users in a 3D view and to improve the angle of visualization with the help of augmented reality techniques.
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